Package: methylCC 1.27.0
methylCC: Estimate the cell composition of whole blood in DNA methylation samples
A tool to estimate the cell composition of DNA methylation whole blood sample measured on any platform technology (microarray and sequencing).
Authors:
methylCC_1.27.0.tar.gz
methylCC_1.27.0.zip(r-4.7)methylCC_1.27.0.zip(r-4.6)methylCC_1.27.0.zip(r-4.5)
methylCC_1.27.0.tgz(r-4.6-any)methylCC_1.27.0.tgz(r-4.5-any)
methylCC_1.27.0.tar.gz(r-4.7-any)methylCC_1.27.0.tar.gz(r-4.6-any)
methylCC_1.27.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
methylCC/json (API)
NEWS
| # Install 'methylCC' in R: |
| install.packages('methylCC', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/stephaniehicks/methylcc/issues
- FlowSorted.Blood.450k.sub - A reduced size of the FlowSorted.Blood.450k dataset
- offMethRegions - Unmethylated regions for all celltypes
- onMethRegions - Methylated regions for all celltypes
On BioConductor:methylCC-1.27.0(bioc 3.24)methylCC-1.26.0(bioc 3.23)
microarraysequencingdnamethylationmethylationarraymethylseqwholegenome
Last updated from:5f22bd3b6b. Checks:1 NOTE, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 377 | ||
| linux-devel-x86_64 | OK | 616 | ||
| source / vignettes | OK | 590 | ||
| linux-release-x86_64 | OK | 734 | ||
| macos-release-arm64 | OK | 522 | ||
| macos-oldrel-arm64 | OK | 365 | ||
| windows-devel | OK | 549 | ||
| windows-release | OK | 626 | ||
| windows-oldrel | OK | 564 | ||
| wasm-release | OK | 332 |
Exports:cell_countsestimatecc
Dependencies:abindannotateAnnotationDbiaskpassassortheadbase64beachmatbeanplotBHBiobaseBiocBaseUtilsBiocGenericsBiocIObiocmakeBiocParallelBiostringsbitbit64bitopsblobBSgenomebsseqbumphuntercachemcigarilloclicliprcodetoolscpp11crayoncurldata.tableDBIDelayedArrayDelayedMatrixStatsdigestdir.expirydoRNGdplyrfarverfastmapfilelockFlowSorted.Blood.450kforeachformatRfutile.loggerfutile.optionsgenefiltergenericsGenomicAlignmentsGenomicFeaturesGenomicRangesGEOquerygluegtoolsh5mreadHDF5Arrayhmshttrhttr2IlluminaHumanMethylation450kanno.ilmn12.hg19IlluminaHumanMethylation450kmanifestilluminaioIRangesiteratorsjsonliteKEGGRESTlabelinglambda.rlatticelifecyclelimmalocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmclustmemoisemimeminfimulttestnlmenor1mixopensslpermutepillarpkgconfigplyrpngpreprocessCoreprettyunitsprogresspurrrquadprogR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRCurlreadrrentrezreshaperestfulrrhdf5rhdf5filtersRhdf5libRhtslibrjsonrlangrngtoolsRsamtoolsRSQLitertracklayerrvestS4ArraysS4VectorsscalesscrimeselectrSeqinfosiggenessnowSparseArraysparseMatrixStatsstatmodstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithrXMLxml2xtableXVectoryaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extract raw data | .extract_raw_data |
| Finding differentially methylated regions | .find_dmrs |
| .initialize_theta | .initialize_theta |
| .initializeMLEs | .initializeMLEs |
| .methylcc_engine | .methylcc_engine |
| Expectation step | .methylcc_estep |
| Maximization step | .methylcc_mstep |
| Pick target positions | .pick_target_positions |
| .preprocess_estimatecc | .preprocess_estimatecc |
| .splitit | .splitit |
| Helper function to take the product of Z and cell composition estimates | .WFun |
| Generic function that returns the cell composition estimates | cell_counts cell_counts,estimatecc-method |
| Estimate cell composition from DNAm data | estimatecc |
| the estimatecc class | estimatecc-class |
| A reduced size of the FlowSorted.Blood.450k dataset | FlowSorted.Blood.450k.sub |
| Unmethylated regions for all celltypes | offMethRegions |
| Methylated regions for all celltypes | onMethRegions |
